Identification of putative genes for polyphenol biosynthesis in olive fruits and leaves using full-length transcriptome sequencing
•Olive (Olea europaea) is a rich source of valuable bioactive polyphenols.•Concentrations of 12 major polyphenols were measured.•Both of second-generation RNA-seq and full-length transcriptome were used.•232 alternative splicing events were analyzed for the first time in olive. Olive (Olea europaea)...
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Published in | Food chemistry Vol. 300; p. 125246 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
01.12.2019
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Abstract | •Olive (Olea europaea) is a rich source of valuable bioactive polyphenols.•Concentrations of 12 major polyphenols were measured.•Both of second-generation RNA-seq and full-length transcriptome were used.•232 alternative splicing events were analyzed for the first time in olive.
Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest. In this study, we combined targeted metabolome, Pacbio ISOseq transcriptome, and Illumina RNA-seq transcriptome to investigate the association between polyphenols and gene expression in the developing olive fruits and leaves. A total of 12 main polyphenols were measured, and 122 transcripts of 17 gene families, 101 transcripts of 9 gene families, and 106 transcripts of 6 gene families that encode for enzymes involved in flavonoid, oleuropein, and hydroxytyrosol biosynthesis were separately identified. Additionally, 232 alternative splicing events of 18 genes related to polyphenol synthesis were analyzed. This is the first time that the third generations of full-length transcriptome technology were used to study the gene expression pattern of olive fruits and leaves. The results of transcriptome combined with targeted metabolome can help us better understand the polyphenol biosynthesis pathways in the olive. |
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AbstractList | Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest. In this study, we combined targeted metabolome, Pacbio ISOseq transcriptome, and Illumina RNA-seq transcriptome to investigate the association between polyphenols and gene expression in the developing olive fruits and leaves. A total of 12 main polyphenols were measured, and 122 transcripts of 17 gene families, 101 transcripts of 9 gene families, and 106 transcripts of 6 gene families that encode for enzymes involved in flavonoid, oleuropein, and hydroxytyrosol biosynthesis were separately identified. Additionally, 232 alternative splicing events of 18 genes related to polyphenol synthesis were analyzed. This is the first time that the third generations of full-length transcriptome technology were used to study the gene expression pattern of olive fruits and leaves. The results of transcriptome combined with targeted metabolome can help us better understand the polyphenol biosynthesis pathways in the olive.Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest. In this study, we combined targeted metabolome, Pacbio ISOseq transcriptome, and Illumina RNA-seq transcriptome to investigate the association between polyphenols and gene expression in the developing olive fruits and leaves. A total of 12 main polyphenols were measured, and 122 transcripts of 17 gene families, 101 transcripts of 9 gene families, and 106 transcripts of 6 gene families that encode for enzymes involved in flavonoid, oleuropein, and hydroxytyrosol biosynthesis were separately identified. Additionally, 232 alternative splicing events of 18 genes related to polyphenol synthesis were analyzed. This is the first time that the third generations of full-length transcriptome technology were used to study the gene expression pattern of olive fruits and leaves. The results of transcriptome combined with targeted metabolome can help us better understand the polyphenol biosynthesis pathways in the olive. Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest. In this study, we combined targeted metabolome, Pacbio ISOseq transcriptome, and Illumina RNA-seq transcriptome to investigate the association between polyphenols and gene expression in the developing olive fruits and leaves. A total of 12 main polyphenols were measured, and 122 transcripts of 17 gene families, 101 transcripts of 9 gene families, and 106 transcripts of 6 gene families that encode for enzymes involved in flavonoid, oleuropein, and hydroxytyrosol biosynthesis were separately identified. Additionally, 232 alternative splicing events of 18 genes related to polyphenol synthesis were analyzed. This is the first time that the third generations of full-length transcriptome technology were used to study the gene expression pattern of olive fruits and leaves. The results of transcriptome combined with targeted metabolome can help us better understand the polyphenol biosynthesis pathways in the olive. •Olive (Olea europaea) is a rich source of valuable bioactive polyphenols.•Concentrations of 12 major polyphenols were measured.•Both of second-generation RNA-seq and full-length transcriptome were used.•232 alternative splicing events were analyzed for the first time in olive. Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest. In this study, we combined targeted metabolome, Pacbio ISOseq transcriptome, and Illumina RNA-seq transcriptome to investigate the association between polyphenols and gene expression in the developing olive fruits and leaves. A total of 12 main polyphenols were measured, and 122 transcripts of 17 gene families, 101 transcripts of 9 gene families, and 106 transcripts of 6 gene families that encode for enzymes involved in flavonoid, oleuropein, and hydroxytyrosol biosynthesis were separately identified. Additionally, 232 alternative splicing events of 18 genes related to polyphenol synthesis were analyzed. This is the first time that the third generations of full-length transcriptome technology were used to study the gene expression pattern of olive fruits and leaves. The results of transcriptome combined with targeted metabolome can help us better understand the polyphenol biosynthesis pathways in the olive. |
ArticleNumber | 125246 |
Author | Xiaoxia, Liu Guodong, Rao Ying, Luo Jianguo, Zhang |
Author_xml | – sequence: 1 givenname: Rao orcidid: 0000-0002-2680-9719 surname: Guodong fullname: Guodong, Rao email: rgd@caf.ac.cn organization: State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China – sequence: 2 givenname: Zhang surname: Jianguo fullname: Jianguo, Zhang email: ralf02@163.com organization: State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China – sequence: 3 givenname: Liu surname: Xiaoxia fullname: Xiaoxia, Liu organization: State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China – sequence: 4 givenname: Luo surname: Ying fullname: Ying, Luo organization: State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China |
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Keywords | Hydroxytyrosol Alternative splicing Polyphenol Olea europaea Oleuropein Full-length transcripts |
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Snippet | •Olive (Olea europaea) is a rich source of valuable bioactive polyphenols.•Concentrations of 12 major polyphenols were measured.•Both of second-generation... Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest. In this study, we combined targeted... |
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SubjectTerms | Alternative splicing biosynthesis enzymes flavonoids fruits Full-length transcripts gene expression genes Hydroxytyrosol leaves messenger RNA metabolome Olea europaea Oleuropein olives Polyphenol polyphenols sequence analysis transcriptome transcriptomics |
Title | Identification of putative genes for polyphenol biosynthesis in olive fruits and leaves using full-length transcriptome sequencing |
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